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NEW QUESTION # 43
Your Oracle Analytics client asks you to shape a story and story and share it as a file.
Which are three valid file types for sharing a story?
- A. AutoCad (.dxf)
- B. Acrobat (.pdf)
- C. Package (.dva)
- D. Word (.docx)
- E. image (.png)
Answer: B,C,E
Explanation:
Image (.png), Acrobat (.pdf), and Package (.dva) are three valid file types for sharing a story in Oracle Analytics Cloud. A story is a feature that allows you to create and present a narrative based on your data using various elements, such as visualizations, text boxes, images, videos, and more. You can use a story to communicate your findings and recommendations to your audience in an engaging and interactive way. You can share a story as a file by exporting it to one of the supported file formats, such as image (.png), Acrobat (.pdf), or Package (.dva). An image file (.png) allows you to save a snapshot of your story as an image that you can view or print using any image viewer application. An Acrobat file (.pdf) allows you to save your story as a document that you can view or print using any PDF reader application. A Package file (.dva) allows you to save your story along with its associated data sets and projects as a compressed file that you can import into another Oracle Analytics Cloud instance or application. The other file types, such as AutoCad (.dxf) and Word (.docx), are not valid file types for sharing a story in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 44
You need to curate data for Country Dimension and dependent Sales Facts that store country sales data.
How do you design the data flow and load data for these two separate data sets in data storage?
- A. Create a single data flow that loads data to the Country data storage in the first step and then loaders data storage in the seconds the flows for the Country and Sales data sets.
- B. Create data flows for the Country and Sales data sets. Then create a sequence where the data flow for Sales is called first followed by the data flow for Country.
- C. Create two separate data flows for the Country and Sales data sets. Then create a sequence "low for Country is called first followed by the data flow for Sales.
- D. Create two separate data flows for the Country and Sales data sets. Then call one data flow from another.
Answer: B,D
Explanation:
There are two possible ways to design the data flow and load data for these two separate data sets in data storage:
Create two separate data flows for the Country and Sales data sets. Then call one data flow from another using a Call Data Flow step. This will allow you to execute one data flow after another in a single run.
Create data flows for the Country and Sales data sets. Then create a sequence that defines the order of execution of these data flows using a Sequence step. This will allow you to run multiple data flows sequentially or in parallel. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 45
An analyst is creating a story on the Narrate tab of the project. What is the most likely reason they have done this?
- A. To share the story by exporting to pdf.
- B. To share the story with consumers on the Home Page.
- C. To share the story on Day by Day with their decision makers.
- D. To share the story by exporting to MS Excel.
Answer: C
Explanation:
Sharing the story on Day by Day with their decision makers is the most likely reason why an analyst has created a story on the Narrate tab of the project in Oracle Analytics Cloud. A story is a feature that allows you to create and present a narrative based on your data using various elements, such as visualizations, text boxes, images, videos, and more. You can use a story to communicate your findings and recommendations to your audience in an engaging and interactive way. The Narrate tab is a workspace where you can create and edit your story using various tools and options. You can add multiple canvases to your story and navigate between them using the navigation bar. You can also add notifications, filters, notes, and narration to your story to enhance it and make it more interactive. Day by Day is a mobile application that allows you to access and interact with your Oracle Analytics Cloud content using voice or text commands. You can use Day by Day to view and explore your stories on your mobile device and share them with other users via email or chat. You can also receive personalized insights and recommendations from Day by Day based on your location, calendar, and preferences. Sharing the story on Day by Day with their decision makers is a convenient and effective way for an analyst to deliver their analysis and influence their decisions. The other options, such as sharing the story by exporting to MS Excel, sharing the story with consumers on the Home Page, and sharing the story by exporting to pdf, are not the most likely reasons why an analyst has created a story on the Narrate tab of the project in Oracle Analytics Cloud. These options are either not supported or not optimal for sharing a story in Oracle Analytics Cloud. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center
NEW QUESTION # 46
Which of these steps is REQUIRED in a Data Flow to create a new curated data set?
- A. Filter
- B. Merge Columns
- C. Aggregate
- D. Add Data
Answer: D
Explanation:
The step that is required in a data flow to create a new curated data set is Add Data. Add Data is the first step in any data flow that allows you to select one or more data sources to use in your data flow. You can choose from various types of data sources, such as databases, files, applications, or existing data sets. You can also specify how to join or union multiple data sources if needed. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 47
Which statement is true when migrating content From Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud?
- A. Both the Oracle BI Enterprise Edition 12c Data Model and the Catalog must be migrated to Oracle Analytics Cloud. They cannot be migrated independently.
- B. You can only migrate an Oracle BI Enterprise Edition 12c Data Model to Oracle Analytics cloud. Catalog migration is not allowed.
- C. You can migrate a snapshot from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud.
- D. At this time there is no option to migrate Oracle B1 Enterprise Edition 11g content to oracle Analytics Cloud.
Answer: C
Explanation:
The statement that is true when migrating content from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud is that you can migrate a snapshot from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud. A snapshot is a file that contains the metadata and data of a service instance, such as the repository, catalog, security model, and connection pool settings. You can use the snapshot to backup or restore your service instance, or to migrate your content from one environment to another. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 48
Which relational database schema consists than in single-dimension tables?
- A. Leaf
- B. Star schema
- C. Network
- D. Sun Snowflake schema
Answer: A
Explanation:
Leaf is the relational database schema that consists of single-dimension tables in Oracle Analytics Cloud. A leaf schema is a type of schema that consists of one fact table and one dimension table for each dimension in the data model. A leaf schema simplifies the data model by eliminating the need for multiple tables or joins for each dimension. However, a leaf schema may result in data redundancy and inconsistency, as the same dimension values may be repeated across different tables. The other types of schemas, such as network, star, and snowflake, consist of more than one dimension table per dimension. A network schema consists of multiple fact tables and multiple dimension tables that are interconnected by foreign keys. A star schema consists of one fact table and multiple dimension tables that are directly related to the fact table by foreign keys. A snowflake schema consists of one fact table and multiple dimension tables that are related to each other by foreign keys. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 49
Which two are supported on the home page of a BI Ask visualization?
- A. Drilling down on the visualizations.
- B. View data from multiple data sets \n a single query.
- C. saving visualizations displayed on the Oracle Analytics Cloud home page
- D. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project
Answer: A,B
Explanation:
Drilling down and viewing data from multiple data sets in a single query are two features that are supported on the home page of a BI Ask visualization in Oracle Analytics Cloud. BI Ask is a natural language interface that allows you to ask questions and get answers in the form of visualizations. You can drill down on the visualizations to explore the data at different levels of detail. You can also view data from multiple data sets in a single query by using keywords such as "and", "or", and "with". The other features, such as opening and saving visualizations, are not supported on the home page of a BI Ask visualization, but rather require you to open the visualization in a project or data visualization. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 50
You have a data set of stocks with the columns Date, MaxStockPrice and MinStockPrince.
Which column cannot be removed when performing a trend analysis?
- A. All columns are required
- B. MaxStackPrince
- C. Date
- D. MintStockPrince
Answer: C
Explanation:
To perform a trend analysis on a data set of stocks, you need to have at least one date column that represents the time dimension of your data. A trend analysis is a method of analyzing how a variable changes over time and identifying patterns or trends that may exist. Without a date column, you cannot perform a trend analysis on your data set. The other columns, such as MaxStockPrice and MinStockPrice, are optional and depend on what variable you want to analyze. Reference: [Oracle Help Center]
NEW QUESTION # 51
You are creating an analytics solution for a financial institution using Oracle Analytics Cloud.
One of the requirements is a workbook with a model that identifies customers with multiple potential infraudulent transactions.
Which algorithm would be the best fit for this purpose?
- A. Anomaly Detection
- B. Logistic Regression
- C. Decision Tree
- D. Support Vector Machine
Answer: A
Explanation:
Anomaly Detection is the algorithm that would be the best fit for creating a model that identifies customers with multiple potential fraudulent transactions in Oracle Analytics Cloud. Anomaly Detection is a machine learning technique that allows you to detect outliers or anomalies in your data that deviate from the normal or expected behavior. You can use Anomaly Detection to create a model that scores each customer based on their transaction history and flags those who have unusually high or low values as potential fraudsters. The other algorithms, such as Support Vector Machine, Decision Tree, and Logistic Regression, are not the best fit for this purpose. Support Vector Machine is a machine learning technique that allows you to classify data into two or more categories based on a linear or nonlinear boundary. Decision Tree is a machine learning technique that allows you to create rules or conditions for splitting data into branches or nodes based on certain criteria. Logistic Regression is a machine learning technique that allows you to predict the probability of an event occurring based on one or more variables. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 52
Which are two use-cases for Data Flow?
- A. Create a custom Python Machine Learning model.
- B. To curate data sets that can be used for visualizations.
- C. Train and test the Machine Learning model.
- D. Perform some lightweight transformation within the Project.
Answer: B
Explanation:
Data Flow is a feature of Oracle Analytics Cloud that enables you to create and run data flows to transform and enrich your data. You can use Data Flow for various use-cases, such as:
To curate data sets that can be used for visualizations. You can join, filter, aggregate, pivot, and perform other operations on your data sets to prepare them for analysis.
To train and test the Machine Learning model. You can use Data Flow to apply machine learning algorithms to your data and create predictive models. You can also evaluate the performance of your models and compare them with different parameters. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 53
You created a new Sales dashboard with three pages: Sales, Revenue, and Orders.
You need to enable a different set of report links at the page level and set different report links for different analyses.
How do you first enable the report links for all the dashboard pages, and then set the different report links for the different reports?
- A. Set the column permissions of each Dashboard page and then set the Report links for each report.
- B. Enable all the Dashboard Report links from Dashboard Properties and then the Page Report links.
- C. Enable all the Page Report links and then enable the Report links for each Reach report.
- D. Enable all the Dashboard Report links from Dashboard Properties and then the Report links for each Reach report.
Answer: D
Explanation:
To enable a different set of report links at the page level and set different report links for different analyses, you need to do the following steps:
Enable all the Dashboard Report links from Dashboard Properties. This will allow you to use report links such as drill down, drill up, drill across, or navigate to other dashboards or web pages.
Set the Report links for each Reach report. This will allow you to customize which report links are available for each analysis on each dashboard page. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 54
You are creating a Data Model for a sales order and do not have the Time dimension table created in the database.
You decide to use the Time Dimension create feature of Oracle Analytics Cloud (OAC) What are the tasks performed by the Time Dimension wizard execution?
- A. The Time Dimension wizard creates the Time dimension table in the database and loads time data.
- B. The Time Dimension wizard creates the time dimension table in the database, loads time data, and creates the time dimension in the Data Model.
- C. The Time Dimension wizard creates the Time dimension table in the database, load time data, and create the time dimension and hierarchy in the Data Model.
- D. The Time Dimension wizard generated the DDL query for the Time dimension table and inserts SQL for data load, which you need to run on your respective database schema.
Answer: C
Explanation:
The Time Dimension wizard is a feature of Oracle Analytics Cloud that allows you to create a time dimension table in your database without having to write any SQL code. The time dimension table is a table that contains information about time periods, such as year, quarter, month, week, day, hour, and so on. You can use the time dimension table to perform time-based analysis on your data, such as comparing sales across different quarters or calculating year-to-date revenue. The Time Dimension wizard performs three tasks when you execute it:
It creates the time dimension table in your database based on the parameters that you specify, such as the name of the table, the start date and end date of the time range, the level of granularity (such as day or hour), and the format of the date values.
It loads time data into the time dimension table based on the parameters that you specify, such as the number of rows to insert per batch, the commit interval, and the connection details of your database.
It creates the time dimension and hierarchy in your data model based on the parameters that you specify, such as the name of the dimension, the name of the hierarchy, and the levels and attributes of the hierarchy. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 55
What does a fact table use to reference dimension tables?
- A. Dimension attribute
- B. Foreign key
- C. Primary key
- D. Master key
- E. Aggregate type
Answer: B
Explanation:
A fact table uses a foreign key to reference dimension tables in a relational database schema. A fact table is a table that contains numerical measures or facts that are related to a business process or event, such as sales, orders, or transactions. A dimension table is a table that contains descriptive attributes or dimensions that provide context to the facts, such as product, customer, time, or location. A foreign key is a column or a set of columns in a table that refers to the primary key of another table. A primary key is a column or a set of columns in a table that uniquely identifies each row in the table. A foreign key establishes a relationship between the fact table and the dimension tables, and allows you to join them for analysis. The other options, such as dimension attribute, aggregate type, and master key, are not used by a fact table to reference dimension tables. A dimension attribute is a column in a dimension table that contains a specific level or detail of the dimension, such as product name, customer name, or month. An aggregate type is a property of a measure column that specifies how the measure should be aggregated or calculated, such as sum, average, count, or minimum. A master key is not a valid term in relational database schema. Reference: Oracle Help Center, Oracle Help Center
NEW QUESTION # 56
You have created a Machine Learning model and investigated how accurate it \s. How should you use it in Oracle Analytics Cloud (OAC)?
- A. Create Data Flow with a cumulative value prediction.
- B. Use a data flow with a Commit Model step and save as a new data set.
- C. Use Data Flow with an Apply Model step and save as a new data set.
- D. Connect to the model as a new project.
- E. Create a custom calculation based on a related formula.
Answer: C
Explanation:
After creating and testing a machine learning model, you can use it to make predictions on new data sets using a data flow. A data flow is a sequence of steps that transform and enrich data from one or more sources. An Apply Model step allows you to apply a previously trained model to a new data set and generate predictions as a new column. You can then save the output of the data flow as a new data set for further analysis or visualization. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 57
Which two statements are true about Presentation Catalog?
- A. You can grant ownership of items you create to other users.
- B. Catalog items can be set to read-only.
- C. My Folders can be shared with other users.
- D. To prevent corrupter, of the catalog, storage of objects of different types must be segregated into their own folders.
Answer: A,B
Explanation:
You can grant ownership of items you create to other users and catalog items can be set to read-only are two true statements about Presentation Catalog in Oracle Analytics Cloud. Presentation Catalog is a feature that allows you to store, organize, and manage your analytics content and resources, such as data sets, projects, data flows, data models, and more. You can grant ownership of items you create to other users by changing the owner property of the items in the catalog. This allows you to transfer the full control and responsibility of the items to another user. You can also set catalog items to read-only by changing the permissions of the items in the catalog. This prevents other users from modifying or deleting the items, but allows them to view or copy them. The other statements, such as My Folders can be shared with other users and storage of objects of different types must be segregated into their own folders, are not true about Presentation Catalog in Oracle Analytics Cloud. My Folders is a personal folder that is visible only to you and cannot be shared with other users. You can store objects of different types in the same folder in the catalog, as long as they have unique names. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 58
You have a Historical Sales data set, which you use to train a model in Oracle Anatytics Cloud (OAC) Your products have an attribute named Profitability, which has one of the three values: high, medium, c This is the property you set as the target.
Which train data step is required to train a model in
- A. Train Binary-Classifier
- B. Train Numeric Prediction
- C. Train Multi-Classifier
- D. Train Clustering
- E. Train Multi-Value
- F. Train Text Prediction
Answer: C
Explanation:
A multi-classifier is a machine learning model that can predict one of several possible classes for a given input. In this case, the target attribute Profitability has three possible values: high, medium, or low. Therefore, a multi-classifier is the appropriate model to train on this data set. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 59
Which is a supported source for registering and using Machine Learning models7
- A. Mongo Database
- B. Oracle Cloud Object Storage
- C. SQL Server Oracle Data Science
- D. Autonomous Data Warehouse
Answer: D
Explanation:
Autonomous Data Warehouse is a supported source for registering and using machine learning models in Oracle Analytics Cloud. You can use the Register Model step in a data flow to register a machine learning model from Autonomous Data Warehouse and use it in your analyses or visualizations. You can also use the Apply Model step to apply a registered model to a new data set and generate predictions. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 60
Which two are true about dashboard prompts?
- A. All prompts must be displayed on a single page.
- B. Prompts can be developed using only a single column.
- C. Repository variables and session variables can be used in prompt default values.
- D. Prompt values can be limited based on values selected in other prompts.
Answer: C,D
Explanation:
Dashboard prompts are filters that allow users to dynamically change the data displayed in a dashboard. Some statements that are true about dashboard prompts are:
Prompt values can be limited based on values selected in other prompts. This is called cascading prompts, where the values of one prompt depend on the selection of another prompt.
Repository variables and session variables can be used in prompt default values. This allows users to set dynamic default values for prompts based on variables defined in the repository or the session. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 61
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